import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn.datasets import load_breast_cancer
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import AdaBoostClassifier, RandomForestClassifier

data = load_breast_cancer()
print(data.target)

rfc = RandomForestClassifier(n_estimators=100, random_state=90)
# score_pre=cross_val_score(rfc,data,data.ta)

# print(data.ta)
